This course introduces you to machine learning with Splunk. In this course, Machine Learning with Splunk, you’ll learn how to use the Splunk core software and the Splunk Machine Learning Toolkit (MLTK) to manage an end to end machine learning pipeline. First, you’ll learn how to install and configure the Splunk MLTK. Next, you’ll discover how each step in a typical machine learning process is handled in the Splunk environment using the Splunk Search Processing Language. Every step in the machine learning process, including data pre-processing, data visualization, model training, validation, and deployment will be explained using a number of practical examples. When you’re finished with this course, you’ll have the skills and knowledge needed to manage all the steps of an entire machine learning process using the Splunk machine learning capabilities.
Johan Raeymaeckers is a systems management consultant with over 20 years of experience. He has been involved in various large scale Tivoli, Symantec, Microsoft and Splunk projects mainly in the financial market.
Course Overview Hello everyone. My name is Johan Raeymaeckers, and welcome to my Pluralsight course on Machine Learning with Splunk. In today's world, machine learning is very important, and it gets more and more important everyday. Splunk Enterprise and the Splunk Machine Learning Toolkit are powerful tools that allow you to entirely manage complex machine learning projects. Some of the major topics that will be covered in this course include understanding the machine learning capabilities of Splunk and describe the functionality of the Splunk Machine Learning Toolkit. An end‑to‑end machine learning scenario. We will perform a simple linear regression to predict a numeric field using the Splunk MLTK. This little teach us the basics of training and evaluating a machine learning model using Splunk. A classification machine learning scenario where we'll introduce more advanced topics like stratified sampling and k‑fold cross validation. A time series forecasting scenario where we'll learn how to make predictions using a state space forecast model, and we'll learn how to use Splunk's alerting capabilities to detect outliers. By the end of this course, you will have all the skills needed to manage machine learning projects using Splunk and the Splunk Machine Learning Toolkit. Before beginning this course, you should be familiar with the Splunk web interface and the Splunk Search Processing Language and basic machine learning concepts. I hope you will join me on this Pluralsight course on Machine Learning with Splunk.